optimizatiom multivariate optimization(sr1)

拟牛顿法(Quasi-Newton Methods)是求解非线性优化问题最有效的方法之一，拟牛顿法的基本思想是在基本牛顿法的步2中，用Hess矩阵的某个近似矩阵代替之.-Quasi-Newton Methods

使用对称秩1算法求解无约束问题 输入包括初始点，目标函数和梯度 输出包括最优点最优解和迭代次数-Rank 1 using symmetric algorithms for unconstrained problems including initial entry points, the objective function and the gradient of the output, including the most optimal solution and the advant

最速下降，阻尼牛顿，对称秩一，修正牛顿算法的matlab实现(matlab codes for steep descent, damping Newton, symmetric rank one, modified Newton algorithm)